NetAnalyzer:分析动态网络拓扑

T. Kunz, Jean-Daniel Medjo Me Biomo, M. St-Hilaire
{"title":"NetAnalyzer:分析动态网络拓扑","authors":"T. Kunz, Jean-Daniel Medjo Me Biomo, M. St-Hilaire","doi":"10.1109/WMNC.2015.14","DOIUrl":null,"url":null,"abstract":"An Unmanned Aerial Ad hoc Network (UAANET) is a special type of Mobile Ad hoc Network (MANET). For these networks, researchers rely mostly on simulations to evaluate their proposed networking protocols. One major component of such simulation studies is the movement pattern of the UAVs. In this paper, we first show that mobility models affect the performance of UAANET/MANET routing protocols. To study the reasons behind these performance differences, we developed and present a new tool, called Net Analyzer, which calculates a range of static and dynamic metrics that capture the impact of mobility models on the network topology. Using the case study presented here, we show how the knowledge of some of these metrics can help differentiating different mobility models and to provide insights into the noticed performance differences.","PeriodicalId":240086,"journal":{"name":"2015 8th IFIP Wireless and Mobile Networking Conference (WMNC)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"NetAnalyzer: Analyzing Dynamic Network Topologies\",\"authors\":\"T. Kunz, Jean-Daniel Medjo Me Biomo, M. St-Hilaire\",\"doi\":\"10.1109/WMNC.2015.14\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An Unmanned Aerial Ad hoc Network (UAANET) is a special type of Mobile Ad hoc Network (MANET). For these networks, researchers rely mostly on simulations to evaluate their proposed networking protocols. One major component of such simulation studies is the movement pattern of the UAVs. In this paper, we first show that mobility models affect the performance of UAANET/MANET routing protocols. To study the reasons behind these performance differences, we developed and present a new tool, called Net Analyzer, which calculates a range of static and dynamic metrics that capture the impact of mobility models on the network topology. Using the case study presented here, we show how the knowledge of some of these metrics can help differentiating different mobility models and to provide insights into the noticed performance differences.\",\"PeriodicalId\":240086,\"journal\":{\"name\":\"2015 8th IFIP Wireless and Mobile Networking Conference (WMNC)\",\"volume\":\"108 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 8th IFIP Wireless and Mobile Networking Conference (WMNC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WMNC.2015.14\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 8th IFIP Wireless and Mobile Networking Conference (WMNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WMNC.2015.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

无人机自组网(UAANET)是一种特殊类型的移动自组网(MANET)。对于这些网络,研究人员主要依靠模拟来评估他们提出的网络协议。这种模拟研究的一个主要组成部分是无人机的运动模式。在本文中,我们首先展示了移动性模型对UAANET/MANET路由协议性能的影响。为了研究这些性能差异背后的原因,我们开发并提供了一个名为Net Analyzer的新工具,它计算一系列静态和动态指标,这些指标可以捕获移动性模型对网络拓扑的影响。通过本文提供的案例研究,我们将展示对其中一些指标的了解如何有助于区分不同的移动性模型,并深入了解已注意到的性能差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NetAnalyzer: Analyzing Dynamic Network Topologies
An Unmanned Aerial Ad hoc Network (UAANET) is a special type of Mobile Ad hoc Network (MANET). For these networks, researchers rely mostly on simulations to evaluate their proposed networking protocols. One major component of such simulation studies is the movement pattern of the UAVs. In this paper, we first show that mobility models affect the performance of UAANET/MANET routing protocols. To study the reasons behind these performance differences, we developed and present a new tool, called Net Analyzer, which calculates a range of static and dynamic metrics that capture the impact of mobility models on the network topology. Using the case study presented here, we show how the knowledge of some of these metrics can help differentiating different mobility models and to provide insights into the noticed performance differences.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信